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        "event_title":"CM-AMO Seminar | Controlling Superconductivity and Topology through Electronic Correlations, Electron-  Lattice Coupling, and Interface Engineering",
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        "combined_title":"CM-AMO Seminar | Controlling Superconductivity and Topology through Electronic Correlations, Electron-  Lattice Coupling, and Interface Engineering: Subhasish Mandal  (West Virginia University)",
        "event_subtitle":"Subhasish Mandal  (West Virginia University)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"High-temperature superconductivity and topological quantum matter remain among the central challenges in condensed matter physics. Their coexistence offers a promising route toward realizing Majorana zero modes and fault-tolerant quantum technologies. While studies of topological materials and electron-phonon coupling have largely relied on single particle descriptions, the role of strong electronic correlations remains unresolved. In particular, it is unclear (i) how correlations modify electron-phonon coupling [1] and lattice dynamics in determining superconducting transition temperatures and (ii) how electron-electron interactions drive topological systems beyond the single-particle limit. \n\nIn this talk, I will discuss our efforts to address these questions using parameter tuning-free embedded dynamical mean-field theory (eDMFT) [2]. By combining epitaxial thin-film growth, angle-resolved photoemission spectroscopy (ARPES), and scanning tunneling microscopy\/spectroscopy (STM\/S). Focusing on FeX (X = Se, S, Te) thin films on SrTiO\u2083 (001), we demonstrate a strong dependence of the superconducting transition temperature () on the FeX\u2084 tetrahedral bond angle, highlighting the crucial role of lattice geometry in correlated superconductivity [3]. We further present evidence for topological superconductivity and identify a distinct phase that competes with strong electronic correlations[4]. Remarkably, both the measured superconducting gap and the eDMFT-derived electron-phonon coupling exhibit a dome-shaped dependence on the tetrahedral angle [5]. I will then show how these insights can be extended toward a predictive, materials-by-design framework for topological superconductivity. Applying a multiscale framework to FeTe\u2080.\u2085Se\u2080.\u2085 and FeSe\/GaAs heterostructures, we predict multiple topological superconducting phases and identify experimentally viable materials platforms in which topology, superconductivity, and strong correlations can be engineered in concert [5,6]. Together, these results demonstrate how electronic correlations, lattice geometry, and interface engineering can be harnessed to control superconductivity and topology, providing a pathway toward the rational design of correlated topological quantum materials and future Majorana-based quantum technologies.\n\nReferences:\n[1] S. Mandal et al. PRB 89, 220502(R) (2014); S. Gerber et al. Science 357, 71 (2017).\n[2] A. Sihi, S. Mandal, & K. Haule, Phys. Rev. B (Lett.) 113, L201116 (2026); (Editor's suggestion)\n[3] S. Mandal et al. PRL. 119, 067004 (2017); Q. Zou, et al. Nano Letters 25, (47) 16572 (2025)\n[4] H. Lin, et al. Nature Communications 17, 1188 (2026)\n[5] Q. Zou, et al. Phys. Rev. B 114, 225123 (2026) (Editor's suggestion) \n[6] Jacobs et al. arXiv:2609.10381 (2026).",
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        "datetime_start":"20261027T160000",
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        "event_title":"Colloquium: How to achieve quantum advantage?",
        "occurrence_title":"",
        "combined_title":"Colloquium: How to achieve quantum advantage?: Lin Lin, Caltech",
        "event_subtitle":"Lin Lin, Caltech",
        "event_type":"Lecture \/ Discussion",
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        "description":"The development of error-corrected quantum computers raises the prospect of quantum advantages in scientific computation. Which problems are likely to benefit, and what will it take to realize these advantages? I will first discuss basic quantum algorithm concepts and some criteria for comparing quantum and classical computation. I will then focus on eigenvalue problems, where improving the precision of an approximate solution offers one possible route to quantum advantage. Recent advances allow quantum eigensolvers to use few auxiliary qubits and short coherent evolutions, with near-optimal dependence on the target precision. I will introduce these developments and a method for estimating multiple eigenvalues together with their multiplicities. Most of the presentation is intended to be accessible to a broad mathematical audience without prior background in quantum computation.",
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